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Neara

Category: AI in Climate / Energy

A physics-enabled digital twin platform that creates high-fidelity 3D models of critical infrastructure to simulate real-world environments and manage grid resilience. Neara was founded in 2016. The company is led by Jack Curtis. Based in Sydney, Australia. Team size: 100-500. Total funding raised: $135.0M. Latest round: Series C. Key investors include ["Next Capital","Prosus Ventures","Skip Capital","Square Peg Capital","Oikocredit"].

Founded
2016
Headquarters
Sydney, Australia
Team size
100-500
Total funding
$135.0M

Value proposition

Enables utilities to identify structural risks and vegetation threats in a virtual environment, reducing the need for manual inspections while accelerating renewable energy integration and disaster response.

Products and solutions

["Neara Designer: Engineering-grade 3D network modeling and design tool.","Neara Analytics: Automated vegetation management and structural analysis at scale.","Neara Operational: Real-time simulation for emergency response (wildfire, flood, and storm impact).","Grid Capacity & Renewables: Tools for identifying 'unlockable' capacity for solar and wind integration."]

Unique value

Unlike standard mapping tools, Neara uses a 'physics-enabled' engine that understands how assets behave under stress (e.g., how power lines sag in extreme heat or swing in high winds).

Target customer

Electric utilities, transmission and distribution system operators (TSOs/DSOs), and telecommunications infrastructure providers.

Industries served

["Energy & Utilities","Telecommunications","Government & Public Infrastructure","Renewable Energy"]

Technology advantage

Proprietary AI algorithms that automatically convert massive LiDAR and GIS datasets into functional 3D models, allowing for 'what-if' scenario testing across thousands of miles of network simultaneously.

How they differentiate

Neara differentiates through its 'physics-enabled' digital twin technology. While competitors often focus on satellite imagery (AiDash) or visual mapping, Neara simulates how assets behave under physical stress, such as line sag during extreme heat or structural integrity during high winds, providing engineering-grade predictive analytics.

Main competitors

["AiDash","Sharper Shape","Bentley Systems (OpenUtilities)","Overstory"]

Key partnerships

["Southern California Edison (SCE)","CenterPoint Energy","Ausgrid","Essential Energy","Microsoft (Azure-based cloud deployment)","ESRI (GIS integration)"]

Notable customers

["Southern California Edison (SCE)","CenterPoint Energy","Ausgrid","Essential Energy","Endeavour Energy","Scottish Power"]

Major milestones

["Reached Unicorn valuation ($1.1B AUD) following Series C in 2024","Named to the TIME100 Most Influential Companies list in 2024","Successfully expanded into the US and European markets with major utility contracts","Rebranded from Power Lines Pro to Neara to reflect broader infrastructure capabilities"]

Growth metrics

Achieved 'Unicorn' status in October 2024 with a valuation of $1.1B AUD; recognized in the 2024 TIME100 Most Influential Companies.

Market positioning

Premium enterprise AI platform for Tier-1 utilities and infrastructure providers, positioned as a critical tool for climate resilience and energy transition.

Geographic focus

Global, with primary operations in Australia (HQ), North America (USA), and EMEA (UK and Europe).

Patents and IP

Proprietary physics-based modeling engine and automated LiDAR-to-vector processing algorithms (specific public patent filings are generally held under the parent entity 'Power Lines Pro').

About Jack Curtis

Jack Curtis has over 15 years of experience in infrastructure finance and renewable energy. He spent 11 years at Goldman Sachs (2007–2018), rising to the rank of Executive Director and Vice President within the Investment Banking Division. During his tenure, he specialized in renewable energy, natural resources, and infrastructure across the Asia-Pacific region. He joined Neara (formerly Power Lines Pro) in 2019 to scale the business globally.

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